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Verifying keep/drop reasons with download counts alone isn't enough to judge obvious-choice vs challenger tiers; the maintainer requires WebSearch evidence of adoption trajectory and community sentiment too. Also rewrites the repo overview in CLAUDE.md and mirrors it to AGENTS.md per the kept-in-sync convention. Co-Authored-By: Claude <noreply@anthropic.com>
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AGENTS.md
An opinionated guide to the best Python frameworks, libraries, tools, and resources.
README.md is the single source of truth for catalog entries and README sponsor placements; website/ renders it into the static site: awesome-python.com.
Entry Rules
CONTRIBUTING.md holds the admission rules, quality requirements, rejection rules, entry format, and ordering. Apply it whenever adding or removing an entry — direct commits included, not only PR reviews.
- Every keep/drop reason must be verified against current online data at decision time — download counts, repo activity and archived status, PyPI metadata, project docs. Judging tiers — obvious choice vs challenger — also requires WebSearch evidence (adoption trajectory, community sentiment), not download counts alone. Training-data recollections are not evidence; label anything unverifiable as a judgment call.
- One entry per commit when adding or deleting entries. Exceptions: a prune sweep is one commit per section, its body listing each removal with its reason; format, wording, or categorization changes may be bundled.
- Sponsor placement never influences which projects get listed — see SPONSORSHIP.md.
website/templates/sponsorship.htmlseparately defines the sponsorship content on the published website page.
Gotchas
- On machines with only Python 3.14, prefix uv-based make targets with
UV_PYTHON=3.13— watchdog 6.0.0 ships no 3.14 wheel and the project setsno-build.